LENGTH: 2,48 Hours
This course is designed to introduce students to IBM Data Science Experience. The course covers how to create and set up a project and to be familiar with how to create, code, collaborate, and share notebooks while working with a variety of data sources to analyze data.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms
Define DSX Set up a project Work with collaborators Manage data assets Describe Jupyter notebooks Create notebooks Code and run notebooks Share and publish notebooks
Data Scientist, Data Engineer, Application Developer
Introduction to IBM Data Science Experience
Analyzing data with DSX
Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.
GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:
Once you enroll in a GTP class, you will receive a confirmation letter that should show:
01 Jun 2023
Web based Training